Nursing StudentsNCT07614503
AI-Supported Case Analysis Among Nursing Students
A study testing Case Analysis and AI-supported case in people with Nursing Students and Artificial Intelligence (AI), run by TC Erciyes University at 1 site in Turkey (Türkiye).
Trial summary
The aim of this study is to determine the effect of AI-supported internal medicine nursing case analysis on students' case management performance, learning outcomes, learning experience, clinical self-efficacy, and cognitive load levels. Read more about this study
- Who is it for?
- Any ageHealthy volunteers can take part
- Conditions the study is for
- Nursing Students, Artificial Intelligence (AI)
- What is being tested?
- Case Analysis and AI-supported case
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 42 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 25 May 2026to 30 Jun 2026
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- Healthy volunteers accepted
- Child, Adult, Older adult
Who may be able to join
- Students who are active fourth-year nursing students during the spring semester of the 2025-2026 academic year,
- Have previously taken the theoretical course on the nursing process,
- Own a cell phone with an internet connection,
- And have previously prepared a patient-specific care plan for an inpatient in at least one internal medicine clinic will be included in the sample.
Who cannot join
- Students who have not taken the course,
- Students who have never participated in case-based learning sessions,
- Students who do not agree to participate in the study will not be included in the research.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: The Effect of AI-Supported Case Analysis on Nursing Students' Learning Experience, Learning Outcomes, Clinical Self-Efficacy, and Cognitive Load
The aim of this study is to determine the effect of AI-supported internal medicine nursing case analysis on students' case management performance, learning outcomes, learning experience, clinical self-efficacy, and cognitive load levels. This study will be conducted using a single-blind randomized controlled trial design for the quantitative research and an individual interview design for the qualitative research. Students will be randomly assigned to either the intervention (artificial intelligence) or control (case analysis) group.
Read the detailed description
The increasing complexity of healthcare services necessitates the adoption of innovative and technology-based approaches in nursing education.This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research and an individual interview design for the qualitative research, with the aim of determining the effect of AI-supported internal medicine nursing case analysis on students' case management performance, learning outcomes, learning experience, clinical self-efficacy, and cognitive load levels. This study will include fourth-year nursing students (100 students) enrolled in the Integrated Health Practices III course in the Department of Nursing. Students will be divided into two groups: an intervention group (AI) and a control group. In the study, data will be collected by the researchers using the Student Profile Form, Achievement Test, Learning Experience, Perceived Learning Outcomes and Clinical Self-Efficacy, Scale of Different Types of Cognitive Load, and Semi-Structured Interview Form.
- Conditions
- Nursing Students, Artificial Intelligence (AI)
- Being tested
- Case Analysis, AI-supported case
- Keywords
- nursing student, airtificial intelligence, nursing education
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Case AnalysisOther
The case analysis will be made through the presentation prepared by the students in the group.
AI-supported caseOther
In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence
| Study group | Role | What they receive |
|---|---|---|
| Artificial Intelligence Group | Experimental | In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence. Receives: Other: AI-supported case |
| Case Analysis Group | Active comparator | The case analysis will be made through the presentation prepared by the students in the group. Receives: Other: Case Analysis |
What is being measured
The primary outcome is the main question the study is designed to answer.
Achievement Test
Achievement Test: The achievement test, created by the researchers, will consist of questions related to the case study and will be scored out of a total of 100 points to determine the impact of the case analysis on students' knowledge level.
Measured: 3 hours
Learning Experience, Perceived Learning Outcomes, and Clinical Self-Efficacy
Learning Experience, Perceived Learning Outcomes, and Clinical Self-Efficacy: The Mentimeter application will be used to determine students' interest, motivation, learning participation, perceived learning outcome, and clinical self-efficacy levels. Students' satisfaction and motivation levels regarding the case analysis method will be determined on a 10-point scale ranging from 0-Strongly Disagree to 10-Strongly Agree. At the end of the study, each category will be evaluated based on an average value.
Measured: 3 hours
Secondary outcomes (1)
Scale of Different Types of Cognitive Load
Scale of Different Types of Cognitive Load: To assess the mental effort and burden experienced by students during the case analysis process, the scale developed by Leppink et al. (2013) will be used. The scale consists of three sub-dimensions. It comprises a total of 10 items and a 10-point rating scale from 1 (very low) to 10 (very high). Higher scores represent higher levels of cognitive load. The Turkish validity and reliability study of the scale was conducted by Türel and Alpsülün (2025).
Measured: 3 hours
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted29 May 2026
- Study start25 May 2026
- Primary completion15 Jun 2026
- Study completion30 Jun 2026
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Nursing StudentsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- Students will be divided into two groups: an intervention group (artificial intelligence) and a control group (case analysis).
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 42 participants (actual)
Sponsor and investigators
- Lead sponsor
- TC Erciyes University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Ayser DÖNER, TC Erciyes University
- Investigators
- AYSER DÖNER, Assistant Professor, Principal investigator, TC Erciyes University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07614503
- Sponsor's protocol ID
- NEVÜsbf
- Status last verified
- Jul 2026
- First submitted
- 4 May 2026
- Last updated
- 23 Jul 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: Only a short protocol can be shared with other researchers.
Study at a glance
From the registry record, last updated by the sponsor on 23 Jul 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Effect of AI-Supported Case Analysis on Nursing Students' Learning Experience, Learning Outcomes, Clinical Self-Efficacy, and Cognitive Load
- ClinicalTrials.gov ID
- NCT07614503
- Acronym / sponsor ID
- NEVÜsbf
- Conditions
- Nursing Students, Artificial Intelligence (AI)
- Keywords
- nursing student, airtificial intelligence, nursing education
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 42 participants (actual)
- Lead sponsor
- TC Erciyes UniversityUniversity, hospital or other
- Study start
- 25 May 2026 (actual)
- Primary completion
- 15 Jun 2026 (actual)
- Study completion
- 30 Jun 2026 (actual)
- First posted
- 29 May 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The aim of this study is to determine the effect of AI-supported internal medicine nursing case analysis on students' case management performance, learning outcomes, learning experience, clinical self-efficacy, and cognitive load levels. This study will be conducted using a single-blind randomized controlled trial design for the quantitative research and an individual interview design for the qualitative research. Students will be randomly assigned to either the intervention (artificial intelligence) or control (case analysis) group.
Detailed description
The increasing complexity of healthcare services necessitates the adoption of innovative and technology-based approaches in nursing education.This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research and an individual interview design for the qualitative research, with the aim of determining the effect of AI-supported internal medicine nursing case analysis on students' case management performance, learning outcomes, learning experience, clinical self-efficacy, and cognitive load levels. This study will include fourth-year nursing students (100 students) enrolled in the Integrated Health Practices III course in the Department of Nursing. Students will be divided into two groups: an intervention group (AI) and a control group. In the study, data will be collected by the researchers using the Student Profile Form, Achievement Test, Learning Experience, Perceived Learning Outcomes and Clinical Self-Efficacy, Scale of Different Types of Cognitive Load, and Semi-Structured Interview Form.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (participant)
- Number of arms
- 2
- Model description
- Students will be divided into two groups: an intervention group (artificial intelligence) and a control group (case analysis).
| Arm | Type | Receives |
|---|---|---|
| Artificial Intelligence Group | Experimental | Other: AI-supported caseIn the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence. |
| Case Analysis Group | Active comparator | Other: Case AnalysisThe case analysis will be made through the presentation prepared by the students in the group. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (4 listed)
- Students who are active fourth-year nursing students during the spring semester of the 2025-2026 academic year,
- Have previously taken the theoretical course on the nursing process,
- Own a cell phone with an internet connection,
- And have previously prepared a patient-specific care plan for an inpatient in at least one internal medicine clinic will be included in the sample.
Key exclusion criteria (3 listed)
- Students who have not taken the course,
- Students who have never participated in case-based learning sessions,
- Students who do not agree to participate in the study will not be included in the research.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Case AnalysisThe case analysis will be made through the presentation prepared by the students in the group. | Other | Case Analysis Group |
| AI-supported caseIn the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence | Other | Artificial Intelligence Group |
Primary outcome
Achievement Test
Time frame: 3 hours
Achievement Test: The achievement test, created by the researchers, will consist of questions related to the case study and will be scored out of a total of 100 points to determine the impact of the case analysis on students' knowledge level.
Learning Experience, Perceived Learning Outcomes, and Clinical Self-Efficacy
Time frame: 3 hours
Learning Experience, Perceived Learning Outcomes, and Clinical Self-Efficacy: The Mentimeter application will be used to determine students' interest, motivation, learning participation, perceived learning outcome, and clinical self-efficacy levels. Students' satisfaction and motivation levels regarding the case analysis method will be determined on a 10-point scale ranging from 0-Strongly Disagree to 10-Strongly Agree. At the end of the study, each category will be evaluated based on an average value.
1 secondary outcome
Scale of Different Types of Cognitive Load
Time frame: 3 hours
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 23 Jul 2026.
- Individual participant dataSharing planned: No. Only a short protocol can be shared with other researchers.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
AYSER DÖNER, Assistant Professor principal investigator
TC Erciyes University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Case Analysis and AI-supported case in people with Nursing Students and Artificial Intelligence (AI), run by TC Erciyes University at 1 site in Turkey (Türkiye).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 23 Jul 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Turkey (Türkiye). Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Achievement Test (time frame: 3 hours). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 23 Jul 2026.